AI Agent Engineer

5 months agoSalary: 200K - 275KUnited StatesRemoteFull TimeAiJobs by TRM Labs

Blockchain intelligence company providing tools to detect, investigate, and manage crypto-related fraud, financial crime, and compliance for institutions and government agencies.

Maintainer signals as of 9/25/2026

450 Townsend Street, San Francisco, CA 94107, United States
About TRM Labs

TRM Labs provides blockchain intelligence for investigations and compliance, offering products such as forensics, wallet screening, entity screening, transaction monitoring, and APIs. It serves financial institutions, crypto businesses, and public sector agencies to trace funds, assess risk, and build cases across digital assets.

View jobs by TRM Labs

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

Architect and implement robust agentic frameworks supporting tool use, context retrieval, memory, and planning. Build modular agents for investigative tasks, scale LLM infrastructure, and develop prompt engineering, RAG, model serving, evaluation, observability, and safety capabilities.

Requirements

  • Strong engineering background with deep backend or systems experience, preferably in Python
  • Hands-on experience with LLMs, agents, LangChain, semantic caches, and vector databases
  • Experience working with agentic pipelines and optimizing information flow into AI systems
  • Thoughtful system design focused on safety, scalability, and explainability
  • High product empathy and a bias toward experimentation and iteration
  • Knowledge graphs, task orchestration, or AI safety experience is a plus

Responsibilities

  • Architect and implement agentic frameworks supporting tool use, context retrieval, memory, and planning
  • Build modular agents that automate investigative tasks and augment analyst decision-making
  • Extend and scale LLM infrastructure, including prompt engineering, RAG, and evaluation loops
  • Design safe, observable, and auditable agent behaviors
  • Evaluate reasoning, latency, success rate, and hallucination metrics and iterate using feedback and telemetry
  • Contribute to rapid experimentation and ethical AI deployment

Benefits

  • Equity plan eligibility